A simulation model of the real-world fuel and energy consumption of light-duty vehicles
Nikiforos Zacharof, Stylianos Doulgeris, Alexandros Zafeiriadis, Athanasios Dimaratos, René van Gijlswijk, Sonsoles Díaz et al. · 2024 · 7 citationsRead the paper
The European Union has intensified efforts to reduce CO 2 emissions from the transport sector, with the target of reducing tailpipe CO 2 emissions from light-duty vehicle new registrations by 55% by 2030 and achieving zero emissions by 2035 according to the “Fit for 55” package. To promote fuel and energy consumption awareness among users under real-world conditions the MILE21—LIFE project provided tools such as a self-reporting tool and a find-a-car tool that included the official and representative on-road fuel/energy consumption values. In order to produce representative values, an in-house vehicle longitudinal dynamics simulation model was developed for use in the background of the on-line platform utilizing only a limited amount of inputs. To achieve this, the applied methodology is based on precalculated efficiency values. These values have been produced using vehicle micro-model simulations covering a wide range of operating conditions. The model was validated using measurements from a dedicated testing campaign and performed well for petrol vehicles with an average divergence of −1.1%. However, the model showed a divergence of 9.7% for diesel vehicles, 10.6% for hybrids and 8.7% for plug-in hybrids. The model was also applied to US vehicles and showed a divergence of 1.2% and 10% for city and highway driving, respectively. The application of the developed model presented in this work showed that it is possible to predict real-world fuel and energy consumption with the desired accuracy using a simplified approach with limited input data.
What the full text shows
Working prototype- Average fuel consumption divergence for petrol vehicles — -1.1% (In-house validation testing campaign)
- Average fuel consumption divergence for diesel vehicles — 9.7% (In-house validation testing campaign)
- Average fuel consumption divergence for hybrid vehicles — 10.6% (In-house validation testing campaign)
- Average fuel consumption divergence for plug-in hybrids — 8.7% (In-house validation testing campaign)
- Divergence for US fleet city driving — 1.2% (EPA data simulation)
- Divergence for US fleet highway driving — 10% (EPA data simulation)
- Setup
- Validation included 9 conventional vehicles (petrol/diesel) and 2 PHEVs across 73 tests, plus a verification set of 11 monitored vehicles (4 diesel, 3 petrol, 3 PHEV, 1 HEV).
- How
- The study developed a simulation model combining a physical approach (longitudinal dynamics) and a statistical approach (polynomial function) using precalculated efficiency values. It was validated against on-road measurements from a testing campaign and EPA data for US vehicles.
- Limitations
- Underestimates petrol vehicle consumption in urban segments due to lack of cold start modeling · Overestimates fuel consumption for diesel vehicles · Generic energy management strategy for hybrids does not fully capture specific vehicle synergy between engine and motor
Summarized by Gemma 4 from the open-access full text · 8 Oct 2026. Read it